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Multivariate statistics / Cluster analysis / Data analysis / Data mining / Geostatistics / Machine learning / Hierarchical clustering / Spectral clustering / Eigenvalues and eigenvectors / Statistics / Algebra / Mathematics


Learning Taxonomies by Dependence Maximization Matthew B. Blaschko Arthur Gretton Max Planck Institute for Biological Cybernetics Spemannstr. 38
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Document Date: 2011-01-20 08:12:42

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SIAM Journal / Cxy / Cambridge University Press / /

Country

Germany / Jordan / /

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Facility

Prentice Hall / Dependence Maximization Matthew B. Blaschko Arthur Gretton Max Planck Institute / University of California / Max Planck Institute / /

IndustryTerm

Spectral clustering algorithms / inner product / iterative algorithm / state-ofthe-art algorithms / unsupervised algorithms / inverse energy capacity object field motor computational network / hidden networks / unsupervised clustering algorithm / neural networks / covariance operator / numerical taxonomy clustering algorithm / classic spectral clustering algorithm / normalized inner product / word performance neural networks / approximation algorithms / loss algorithms / /

Organization

Cambridge University / American Mathematical Society / Dependence Maximization Matthew B. Blaschko Arthur Gretton Max Planck Institute for Biological Cybernetics Spemannstr / Max Planck Institute for Biological Cybernetics / University of California at Santa Cruz / /

Person

Christoph Lampert / R. Agarwala / V / C. D. Meyer / Jr. / /

Position

Prime Minister / model for finding optimal evolutionary trees / representative / /

ProgrammingLanguage

Pascal / EC / /

ProvinceOrState

California / /

PublishedMedium

Transactions of the American Mathematical Society / Journal of Theoretical Biology / /

Technology

neuroscience / state-ofthe-art algorithms / main algorithm / proposed algorithm / numerical taxonomy clustering algorithm / unsupervised clustering algorithm / Spectral clustering algorithms / loss algorithms / following iterative algorithm / classic spectral clustering algorithm / clustering algorithm / approximation algorithms / classical spectral clustering algorithms / /

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http /

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